Smart ring

ABSTRACT

A wearable device is described. The wearable device includes a body portion and an adjustable strap affixed to a body portion to form an opening. The opening receives a body part of a user therein. The wearable device includes a control component, a gesture component, and/or a sensing component configured to detect input, gestures, and/or biometric parameters of the user and transmit the input, the gestures, and/or the biometric parameters to a smart device connected to the wearable device via a wireless personal area network technology to modify parameters of the smart device. The wearable device may include one or more sensors that assist the control component, the gesture component, and/or the sensing component.

FIELD OF THE EMBODIMENTS

The field of the invention and its embodiments relate to wearabledevices. In particular, the present invention and its embodiments relateto wearable smart rings providing numerous functions.

BACKGROUND OF THE EMBODIMENTS

Wearable technologies or devices are becoming increasingly popular asfashion accessories that also provide electronic function(s). Forexample, depending on its features, a wearable technology or device canserve as a remote extension of a user's smartphone or other computingdevice, alerting a user of incoming calls, texts, emails, and/or updatesfrom social media sites. The wearable technology or device canadditionally act as a remote control of various functions of the othercomputing device in response to receiving a user input, such astriggering a camera, decreasing a volume of a song, locking a door, etc.In further examples, the wearable technology or device can also detectand measure various biometric parameters of the user wearing the device.However, what is needed is a wearable technology or device that combinesgesture detection, biometric parameter detection, and user inputdetection to modify parameters or features of the other computingdevice.

Review of Related Technology

U.S. Published Patent Application No. 2019/0004604 A1 describes afinger-mounted device that may include finger-mounted units. Thefinger-mounted units may each have a body that serves as a supportstructure for components such as force sensors, accelerometers, andother sensors and for haptic output devices. The body may have sidewallportions coupled by a portion that rests adjacent to a user'sfingernail. The body may be formed from deformable material such asmetal or may be formed from adjustable structures such as sliding bodyportions that are coupled to each other using magnetic attraction,springs, or other structures. The body of each finger-mounted unit mayhave a U-shaped cross-sectional profile that leaves the finger pad ofeach finger exposed when the body is coupled to a fingertip of a user'sfinger. Control circuitry may gather finger press input, lateral fingermovement input, and finger tap input using the sensors and may providehaptic output using the haptic output device.

U.S. Published Patent Application No. 2011/0210931 A1 describesfinger-worn devices. The finger-worn devices may be connected anddisconnected from other devices. In some embodiments, the finger-worndevices may be operated to generate sound and visual output.

U.S. Published Patent Application No. 2016/0203362 A1 describes awearable device that may sense a movement by a user wearing the wearabledevice. The term “wearable device” may refer to a smartphone, asmartwatch, a smart bracelet, a smart wristband, a smart ankle band, asmart ring, or a smart necklace. The wearable device may also determinewhether a path of the movement corresponds to one or more predefinedpatterns. The wearable device may further perform one or more operationsin response to a determination that the path of the movement correspondsto at least one of the one or more predefined patterns.

U.S. Published Patent Application No. 2016/0350581 A1 describes a smartring having a body, a biometric sensor, a memory, and a controller. Thebiometric sensor is positioned in the ring body and is configured tosense a biometric feature. The memory is configured to store a biometricfeature of an authorized user. The controller is configured to determinewhether the biometric feature sensed by the biometric sensor matches thebiometric feature stored in the memory. In response to determining thatthe biometric feature sensed by the biometric sensor matches thebiometric feature stored in the memory, the controller is configured toenable a function of the ring. The function may include: controllingmusic playback, controlling a volume of music playback, triggering acamera, unlocking a door, etc.

U.S. Published Patent Application No. 2017/0024008 A1 describes a smartring configured to be worn on a first segment of a finger of a user. Thesmart ring can include at least one flexion sensor secured to the smartring in a manner that can detect a distance between the at least oneflexion sensor and a second segment of the finger. The smart ring canalso include an input component configured to analyze signals from theat least one flexion sensor to detect a pose of the finger.

KR 200476139 Y1 describes a smart ring having a tetragonal smart chipembedded therein. The smart ring includes: a body having a ring shapeinto which a finger can be inserted, a smart chip detachably coupled toone part of the outer circumferential surface of the body, and acoupling member provided on the outer circumferential surface of thebody such that the smart chip is coupled to the body.

U.S. Published Patent Application No. 2015/0287412 A1 describes a 3Csmart ring capable of coupling 3C products in a cable or wirelesscommunication manner. The 3C smart ring includes a ring body, a powersupply unit, a power switch, a control unit, a transmitting/receivingunit, and a microphone. The power supply unit and thetransmitting/receiving unit are both coupled electrically with thecontrol unit. The power supply unit provides electricity for operatingthe 3C smart ring. Through the transmitting/receiving unit, the 3C smartring can couple via wireless signals to 3C networking devices. Further,the power switch and the microphone are located at a lateral side of thering body, in which the power switch for controlling on/off of the wholering is coupled electrically with the control unit. The microphonecoupled electrically with the control unit is to forward voice signalsto the networking 3C devices via the control unit and thetransmitting/receiving unit.

U.S. Published Patent Application No. 2015/0338916 A1 describes a smartring that includes a finger band configured to accommodate a user'sfinger and a set of pressure sensors positioned on an inner surface ofthe finger band and configured to sense changes to tendons of the user'sfinger as pressure differentials and to output associated signals. Thesmart ring also includes a gesture component configured to interpret thesignals from the set of pressure sensors to identify individual actionsperformed by the user's finger.

U.S. Published Patent Application No. 2016/0034742 A1 describes aring-type terminal. The terminal includes a main body configured to beplaced on and surround a user's finger and an insertion region in whichthe finger is inserted. The terminal also includes a fingerprint sensorprovided on at least one region of an inner circumferential surface ofthe main body that is configured to recognize a fingerprint of thefinger. The terminal further includes a guide module provided on theinner circumferential surface such that the finger comes in contact withthe fingerprint sensing module while the finger is inserted in theinsertion region. The terminal also includes a controller configured toexecute a function based on the fingerprint sensed by the fingerprintsensing module. The function may include: capturing still images,capturing moving images, playing music files, playing video files,playing games, receiving broadcasts, etc.

WO 2016/044035 A1 and U.S. Published Patent Application No. 2016/0077587A1 describe a smart ring that is configured to be worn on a firstsegment of a finger of a user. The example smart ring can include atleast one flexion sensor secured to the smart ring in a manner that candetect a distance between the at least one flexion sensor and a secondsegment of the finger. The example smart ring can also include an inputcomponent configured to analyze signals from the at least one flexionsensor to detect a pose of the finger.

WO 2016/039553 A1 describes a smart ring. The smart ring includes a bodyhaving a ring shape into which a finger can be inserted. The smart ringalso includes a tetragonal smart chip detachably coupled to one part ofthe outer circumferential surface of the body. The smart ring furtherincludes a coupling member provided on the outer circumferential surfaceof the body such that the smart chip is coupled to the body.

U.S. Published Patent Application No. 2016/0292563 A1 describes methodsfor pairing at least one smart ring with a primary device.

Various devices exist in the art. However, these devices aresubstantially different from the present disclosure, as the otherinventions fail to solve all the problems taught by the presentdisclosure.

SUMMARY OF THE EMBODIMENTS

The present invention and its embodiments relate to wearable devices. Inparticular, the present invention and its embodiments relate to wearablesmart rings providing numerous functions.

A first embodiment of the present invention describes a wearable device.The wearable device includes a watch, a bracelet, a wristband, an ankleband, a ring, or a necklace. The wearable device includes a strapaffixed to a body portion of the wearable device to form an opening. Insome examples, the strap is adjustable. The opening receives a body partof a user. In examples where the wearable device is the ring, the bodypart of the user is a finger of the user. More specifically, in exampleswhere the wearable device is the ring, the body part of the user is anindex finger of the user.

The body portion of the wearable device includes a cover and a receiverportion located on the cover. The receiver portion is configured toreceive an input from the user to modify a parameter of a smart deviceconnected to the wearable device via a wireless personal area networktechnology (such as Bluetooth Low Energy). The parameter is an onposition, an off position, a pause position, a play position, a channel,a volume, a color, a song, a movie, a brightness, a locked status, anunlocked status, a temperature, presented content, a phone call, amessage, a notification, two-dimensional content, and/orthree-dimensional content. The smart device is a smart light, a smarttelevision, a smartphone, a smart thermostat, a smart doorbell, a smartlock, a smart refrigerator, smart glasses, a smart watch, or a smartspeaker.

The body portion of the wearable device further comprises alight-emitting diode (LED) display. In additional examples, the wearabledevice includes a rechargeable battery and a charging port for chargingthe wearable device. Additionally, the wearable device includes acontrol component. The control component is configured to: receive, fromthe receiver portion, the input from the user and transmit the input viathe wireless personal area network technology to the smart device tomodify the parameter of the smart device.

The control component is further configured to: identify the input fromthe user as a gesture input. The gesture input is bound to themodification of the parameter of the smart device by means of analgorithmic classifier. The algorithmic classifier comprises a machinelearning classifer. Additionally, in response to receiving, from thereceiver portion, the input from the user or in response to recognizingthe gesture input by the algorithmic classifier, the control componentis further configured to provide a haptic response to the input or thegesture input.

A second embodiment of the present invention describes a wearabledevice. The wearable device is a ring. The wearable device includes anadjustable strap affixed to a body portion to form an opening. Theopening receives a body part of a user. In examples where the wearabledevice is the ring, the body part of the user is the index finger of theuser. Moreover, the body portion of the wearable device includes acover, a rechargeable battery, a light-emitting diode (LED) display, anda charging port for charging the wearable device.

The wearable device also includes a gesture component. The gesturecomponent is configured to: detect pressure imparted by the body part ofthe user during performance of an action (e.g., a touch action or anon-touch action) by the body part of the user, measure one or morebiometric parameters of the user, and transmit the one or more biometricparameters via the wireless personal area network technology (e.g.,Bluetooth Low Energy) to the smart device. Each of the one or morebiometric parameters may include an oxygen saturation level, a bodytemperature, a quantity of calories burned, and/or a pulse.

In some examples, the wearable device includes at least one pressuresensor configured to assist the gesture component. In some examples, theat least one pressure sensor comprises an array of pressure sensorsradially distributed around an inner surface of the body portion. Inother examples, the at least one pressure sensor comprises a forcesensitive resistor or a piezoelectric sensor. In further examples, thewearable device includes one or more motion detecting sensors configuredto assist the gesture component. Each of the one or more motiondetectors comprise audio sensors or accelerometers.

A third embodiment of the present invention describes a wearable devicethat is a ring. The wearable device includes an adjustable strap affixedto a body portion to form an opening. The opening receives the indexfinger of the user. The body portion of the wearable device includes acover, a rechargeable battery, the LED display, a receiver portion, anda charging port. The receiver portion is located on the cover and isconfigured to receive the input from the user to modify a parameter of asmart device connected to the wearable device via the wireless personalarea network technology (e.g., Bluetooth Low Energy). The charging portcharges the wearable device.

The wearable device also includes a control component and a gesturecomponent, among other components not explicitly listed herein. Thecontrol component is configured to: receive, from the receiver portion,the input from the user and transmit the input via the wireless personalarea network technology to the smart device to modify the parameter ofthe smart device. The gesture component is configured to: detectpressure imparted by the index finger of the user during performance ofan action by the index finger of the user, measure one or more biometricparameters of the user, and transmit the one or more biometricparameters via the wireless personal area network technology to thesmart device.

In examples, the wearable device includes one or more motion detectingor detection sensors configured to assist the gesture component, whereeach of the one or more motion detecting or detection sensors comprisean audio sensor or an accelerometer. In other examples, the wearabledevice includes at least one pressure sensor configured to assist thegesture component, where each of the at least one pressure sensorcomprises a force sensitive resistor or a piezoelectric sensor.

In general, the present invention succeeds in conferring the followingbenefits and objectives.

It is an object of the present invention to provide a wearable device.

It is an object of the present invention to provide a smart ring.

It is an object of the present invention to provide a lightweight,intuitive, and non-intrusive smart ring.

It is an object of the present invention to provide a smart ring capableof gesture detection, biometric parameter detection, and user inputdetection to modify parameters or features of a computing device orsmart device connected to the wearable device via the wireless personalarea network technology.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1A depicts a block diagram of a system, according to at least someembodiments disclosed herein.

FIG. 1B depicts a block diagram of a system, the system comprising atleast a wearable device, where the wearable device comprises at least analgorithmic classifier, according to at least some embodiments disclosedherein.

FIG. 1C depicts a block diagram of a system, the system comprising atleast a smart device, where the smart device comprises at least analgorithmic classifier, according to at least some embodiments disclosedherein.

FIG. 1D depicts a block diagram of sensors of at least one component ofa system, according to at least some embodiments disclosed herein.

FIG. 1E depicts a schematic diagram of a micromachinedmicroelectromechanical systems (MEMS) gyroscope for use within a system,according to at least some embodiments disclosed herein.

FIG. 2 depicts an exploded view of a wearable device, according to atleast some embodiments disclosed herein.

FIG. 3 depicts a front perspective view of a wearable device, accordingto at least some embodiments disclosed herein.

FIG. 4 depicts a side perspective view of a wearable device, accordingto at least some embodiments disclosed herein.

FIG. 5-FIG. 9 depict side views to assemble a portion of a wearabledevice, according to at least some embodiments disclosed herein.

FIG. 10 depicts a side perspective view of a portion of a wearabledevice, according to at least some embodiments disclosed herein.

FIG. 11 depicts a rear perspective view of a portion of a wearabledevice, according to at least some embodiments disclosed herein.

FIG. 12 depicts rear perspective views of affixing an adjustable strapto a portion of a wearable device, according to at least someembodiments disclosed herein.

FIG. 13 depicts a block diagram of components of a system, according toat least some embodiments disclosed herein.

DESCRIPTION OF THE PREFERRED EMBODIMENTS

The preferred embodiments of the present invention will now be describedwith reference to the drawing. Identical elements in the various figuresare identified with the same reference numerals.

Reference will now be made in detail to each embodiment of the presentinvention. Such embodiments are provided by way of explanation of thepresent invention, which is not intended to be limited thereto. In fact,those of ordinary skill in the art may appreciate upon reading thepresent specification and viewing the present drawing that variousmodifications and variations can be made thereto.

As used herein, the singular forms “a,” “an,” and “the,” are intended toinclude the plural forms as well, unless the context clearly indicatesotherwise.

The phrase “and/or,” as used herein in the specification and in theclaims, should be understood to mean “either or both” of the elements soconjoined, i.e., elements that are conjunctively present in some casesand disjunctively present in other cases. Thus, as a non-limitingexample, a reference to “A and/or B”, when used in conjunction withopen-ended language such as “comprising” can refer, in one embodiment,to A only (optionally including elements other than B); in anotherembodiment, to B only (optionally including elements other than A); inyet another embodiment, to both A and B (optionally including otherelements); etc.

As used herein in the specification and in the claims, the phrase “atleast one,” in reference to a list of one or more elements, should beunderstood to mean at least one element selected from any one or more ofthe elements in the list of elements, but not necessarily including atleast one of each and every element specifically listed within the listof elements and not excluding any combinations of elements in the listof elements. This definition also allows that elements may optionally bepresent other than the elements specifically identified within the listof elements to which the phrase “at least one” refers, whether relatedor unrelated to those elements specifically identified. Thus, as anon-limiting example, “at least one of A and B” (or, equivalently, “atleast one of A or B,” or, equivalently “at least one of A and/or B”) canrefer, in one embodiment, to at least one, optionally including morethan one, A, with no B present (and optionally including elements otherthan B); in another embodiment, to at least one, optionally includingmore than one, B, with no A present (and optionally including elementsother than A); in yet another embodiment, to at least one, optionallyincluding more than one, A, and at least one, optionally including morethan one, B (and optionally including other elements); etc.

A wearable device 104 and components of the wearable device 104 aredepicted in at least FIG. 1A-FIG. 13 herein. Moreover, FIG. 5-FIG. 9depict views to assemble at least a portion of the wearable device 104.It should be appreciated that the wearable device 104 may be configuredto control various features of computing devices or smart devicesconnected to the wearable device 104 via a wireless personal areanetwork technology 178 (such as Bluetooth low energy 4.2 standard) (ofFIG. 13), where control is performed in response to detecting a gesturefrom a user 102 (of FIG. 1A and FIG. 12) while the user 102 is wearingthe wearable device 104, detecting an input from the user 102 on aportion of the wearable device 104 while the user 102 is wearing thewearable device 104, and/or detecting biometric parameters of the user102 while the user 102 is wearing the wearable device 104.

The wearable device 104 may be a watch, a bracelet, a wristband, anankle band, a ring, or a necklace, among other examples not explicitlylisted herein. In preferred embodiments, the wearable device 104 may bethe ring. In some examples, the wearable device 104 may comprise amirrored design such that the wearable device 104 may be worn on boththe left hand and the right hand of the user 102.

The wearable device 104 includes a body portion. In some examples, thebody portion of the wearable device 104 may comprise a cover. In someexamples, the cover may comprise a polycarbonate (PC) material and/or athermoplastic elastomer (TPE) material, among others not explicitlylisted herein. The cover of the wearable device 104 may include both afront cover component 110 and a back cover component 116 (of FIG. 2,FIG. 4, FIG. 9, and FIG. 10). The front cover component 110 and the backcover component 116 may be configured to interact with or be affixed toone another to form the cover.

The wearable device 104 may also include a battery 114 (of FIG. 2, FIG.5, FIG. 6, FIG. 7, and FIG. 13) and a charging port 124 (of FIG. 2, FIG.4, and FIG. 11) for charging the wearable device 104. In an example, thebattery 114 may be a rechargeable battery. In some examples, the battery114 may be a lithium-ion battery. In additional examples, the battery114 may be a lithium-ion rechargeable battery with 60 mAh nominalcapacity. In additional examples, the charging port 124 is a UniversalSerial Bus (USB) port. In other examples, the charging port 124 is amicro-USB port and may be affixed to a rear of an exterior portion ofthe wearable device 104. A standard USB charger may be affixed to theUSB port or the micro-USB port (e.g., the charging port 124). It shouldbe appreciated that in some examples, the battery 114 may be anon-rechargeable battery. In these examples, the charging port 124 isnot included as a component of the wearable device 104. Such charging ofthe smart device 108 may be wired, wireless, or may include contactcharging.

In some examples, the body portion of the wearable device 104 may alsoinclude a display (not shown). In a first example, the display may be alight-emitting diode (LED) display. In additional examples, the LEDdisplay is a 9×5 LED matrix display. The wearable device 104 may alsoinclude an adjustable strap 134 (of FIG. 2, FIG. 4, and FIG. 12) affixedto the body portion at at least two locations to form an opening 150 (ofFIG. 4). More specifically, and as depicted in at least FIG. 2, FIG. 11,and FIG. 12, the adjustable strap 134 may be woven through or receivedby an opening 142 and an opening 140 located on the body portion of thewearable device to form the opening 150. In some examples, theadjustable strap 134 may comprise a fabric material. In other examples,the adjustable strap 134 may be affixed together via a fasteningmechanism 136 (of FIG. 2 and FIG. 4), such as Velcro, a clasp, a snap,etc.

The opening 150 of the wearable device 104 may be configured to receivea body part of the user 102 therein. In a preferred embodiment, thewearable device 104 may include the ring and the body part of the user102 may include a finger of the user 102. In additional examples, thefinger of the user 102 may be an index finger of the user 102. Theadjustability of the adjustable strap 134 allows the wearable device 104to be worn by users having different finger sizes.

The wearable device 104 may also include a main engine board (e.g., aprinted circuit board 180) (of FIG. 2, FIG. 5, FIG. 6, FIG. 7, FIG. 8,FIG. 9, and FIG. 13) and a battery support/protection component 122 (ofFIG. 2, FIG. 5, FIG. 6, FIG. 7, and FIG. 13). The batterysupport/protection component 122 may be a single chip lithium-ionbattery protection chip. A screw 120 (of FIG. 2 and FIG. 11) may bereceived by an opening 144 of the cover to affix numerous components ofthe wearable device 104. The screw 120 may comprise a stainless steelmaterial, however, the material of the screw 120 is not limited to such.It should be appreciated that another means of fixation may replace thescrew 120 to achieve the same result.

It should be appreciated that the wearable device 104 may include one ormore components. In an example, the wearable device 104 includes acontrol component 146, a gesture component 148, and/or a sensingcomponent 158, among other components not explicitly listed herein, asdepicted in at FIG. 1A. One or more of the control component 136, thegesture component 148, and/or the sensing component 158 may comprise oneor more sensors 160 of FIG. 1D affixed to the body portion of thewearable device 104 such that the one or more sensors 160 may assist thecontrol component 136, the gesture component 148, and/or the sensingcomponent 158 of the wearable device 104 in performing various actions.The one or more sensors 160 of FIG. 1D may include pressure sensors 162,motion detection or detecting sensors 164, motion tracking sensors 166,audio sensors 168, force sensitive resistors 170, piezoelectric sensors172, accelerometers 174, gyroscopes 190, and/or biometric sensors 176,among others not explicitly listed herein.

As described herein, an “accelerometer” (e.g., the accelerometers 174)is a tool that measure proper acceleration. Proper acceleration is theacceleration, or the rate of change of velocity, of a body in its owninstantaneous rest frame. Single-axis and multi-axis accelerometers candetect both the magnitude and the direction of the proper acceleration,as a vector quantity, and can be used to sense orientation due to thedirection of weight changes, coordinate acceleration, vibration, shock,and falling in a resistive medium (a case in which the properacceleration changes, increasing from zero).

Micromachined microelectromechanical systems (MEMS) accelerometers areincreasingly present in portable electronic devices to detect changes inthe positions of these devices. When coupled with microelectroniccircuits, MEMS accelerometers/sensors can be used to measure physicalparameters, such as acceleration. MEMS sensors measure frequencies downto 0 Hz (static or DC acceleration). Variable capacitive (VC) MEMSaccelerometers are lower range, high sensitivity devices used forstructural monitoring and constant acceleration measurements.Piezoresistive (PR) MEMS accelerometers are higher range, lowsensitivity devices used in shock applications. For additionalinformation on MEMS accelerometers, see, Matej Andrejašic, “MEMSAccelerometers,” Seminar, University of Ljubljana, Faculty forMathematics and Physics, Department of Physics, March 2008, Pages 1-17,the contents of which are hereby incorporated by reference in itsentirety.

As defined herein, a “gyroscope” (e.g., the gyroscopes 190) is a deviceused for measuring or maintaining orientation and angular velocity. Inparticular, the gyroscope is a device that measures the angular velocityof a body about a specified axis of rotation. FIG. 1E depicts aschematic diagram of a traditional MEMS vibratory gyroscope designed tomeasure the angular velocity of the body about the Z-axis of the groundreference frame. The main principle of MEMS gyroscopes is the transferof energy between two modes of vibration, the drive and the sense modes,through the Coriolis acceleration. Coriolis acceleration is theacceleration due to the rotation of the Earth, experienced by particlesmoving along the Earth's surface.

For comparison purposes, the accelerometer (e.g., the accelerometers174) is used to detect the orientation of the wearable device 104,whereas the gyroscope (e.g., the gyroscopes 190) adds an additionaldimension to the information supplied by the accelerometer (e.g., theaccelerometers 174) by tracking rotation or twist. More specifically,the accelerometer (e.g., the accelerometers 174) measures linearacceleration of movement and the directional movement of the wearabledevice 104. The accelerometer (e.g., the accelerometers 174) is not ableto resolve its lateral orientation or tilt during that movementaccurately unless the gyroscope (e.g., the gyroscopes 190) is present toadd that information. The gyroscope (e.g., the gyroscopes 190) measuresthe angular rotational velocity. As such, both sensors measure rate ofchange.

It should be appreciated that the one or more sensors 160 may be placedon any suitable location on the wearable device 104. In a first example,the one or more of the sensors 160 may be located on or affixed to thebody portion of the wearable device 104. In a second example, the one ormore sensors 160 are contoured along an inside surface of the bodyportion of the wearable device 104. In a third example, the one or moresensors 160 may be contoured along an outside surface of the bodyportion of the wearable device 104. In a fourth example, a subset of theone or more sensors 160 are contoured along the inside surface of thebody portion of the wearable device 104 and another subset of the one ormore sensors 160 are contoured along the outside surface of the bodyportion of the wearable device 104. In a fifth example, the one or moresensors 160 may comprise an array of sensors radially distributed aroundthe inner surface or the outer surface of the body portion of thewearable device 104.

In some examples where the wearable device 104 includes the controlcomponent 136, the wearable device 104 may include a receiver portion126 (of FIG. 2, FIG. 3, FIG. 4, FIG. 9, and FIG. 10). As depicted, ashape of the receiver portion 126 is a hexagonal shape. However, theshape of the receiver portion 126 is not limited to such and mayalternatively include a circular shape, a crescent shape, a triangularshape, a square shape, a parallelogram shape, a pentagonal shape, anoctagonal shape, a rhombus shape, a heptagonal shape, an ellipticalshape, or a star shape, among others not explicitly listed herein.

The receiver portion 126 may be located on the cover of the wearabledevice 104. In some examples, the receiver portion 126 may include afirst component 128, a second component 130, and a third component 132(of FIG. 2 and FIG. 3). Each of the first component 128, the secondcomponent 130, and the third component 132 may be buttons or locationson the receiver portion 126 that receive input from the user 102. Inadditional examples, the first component 128 may be an “up” componentand the third component 132 may be a “down” component. The secondcomponent 130 may be located between the first component 128 and thethird component 132. The second component 130 may be an “advance” or a“rewind” component.

The first component 128, the second component 130, or the thirdcomponent 132 of the receiver portion 126 may receive the input from theuser 102 (such as a push or a press input) to modify a parameter of asmart device 108. As described, the wearable device 104 may beconfigured to control various features of computing devices or smartdevices connected to the wearable device 104 via the wireless personalarea network technology 178 (such as Bluetooth low energy 4.2 standard).The smart device 108 may include a smart light, a smart television, asmartphone, a smart thermostat, a smart doorbell, a smart lock, a smartrefrigerator, smart glasses, a smart watch, or a smart speaker, amongother examples not explicitly listed herein. The parameter may includean on position, an off position, a pause position, a play position, achannel, a volume, a color (e.g., of a light), a song, a movie, abrightness (e.g., of the light), a locked status, an unlocked status, atemperature, presented content, a phone call, a message, a notification,two-dimensional content, and/or three-dimensional content, among otherexamples not explicitly listed herein.

More specifically, the control component 136 of the wearable device 104may be configured to receive, from the receiver portion 126, the inputfrom the user 102. In response, the control component 146 may beconfigured to transmit the input via the wireless personal area networktechnology 182 to the smart device 108 to modify the parameter of thesmart device 108.

In a first illustrative example, the user 102 may wear the wearabledevice 104 on a left index finger of the user 102 and may execute theaction, on the first component 128 of the receiver portion 126 of thewearable device 104, via a left thumb of the user 102 to increase theparameter (e.g., the temperature) of the smart device 108 (e.g., thesmart thermostat). In a second illustrative example, the user 102 maywear the wearable device 104 on a right index finger of the user 102 andmay execute the action via a right thumb of the user 102 on the thirdcomponent 132 of the receiver portion 126 of the wearable device 104 todecrease the parameter (e.g., the temperature) of the smart device 108(e.g., the smart thermostat). In a third example, the user 102 may wearthe wearable device 104 on the left index finger of the user 102 and mayexecute the action via the left thumb of the user 102 on the secondcomponent 130 of the receiver portion 126 of the wearable device 104 toadvance a slide of a presentation in an application on the smart device108 (e.g., the smartphone).

In further illustrative examples, the user 102 may execute the action onthe receiver portion 126 to turn on or turn off the smart light,increase or decrease a brightness of the smart light, increase ordecrease a volume associated with the smart television, change a channelon the smart television, advance a slide or a song in an applicationexecuted on the smartphone, increase or decrease a temperatureassociated with the smart thermostat, answer a phone call or textmessage on the smartphone, respond to a notification on a social mediaapplication executed on a smartphone or a tablet, lock or unlock thesmart lock, increase or decrease a volume of the smart speaker, and/ormodify two-dimensional content or three-dimensional content on the smartdevice 108. It should be appreciated that these examples are providedfor illustrative purposes only and other examples are contemplated.

In examples where the wearable device 104 is the ring being worn on theindex finger of the user 102, the gesture component 148 of the wearabledevice 104 may allow the user 102 to use his/her fingers to control thesmart device 108. The gesture component 148 may interpret signals fromthe one or more of the sensors (such as the pressure sensors 162)located on or affixed to the wearable device 104 to identify individualactions performed by the user 102. The individual actions performed bythe user 102 may include touch gestures and/or non-touch gestures.Examples of the touch gestures may include touching a surface of anobject (such as the smart device 108) with the index finger of the user102 and/or sliding the index finger of the user 102 on the surface ofthe smart device 108, among others not explicitly listed herein.Examples of non-touch gestures may include the user 102 bending his/herindex finger, moving his/her index finger in the air, and/or wavinghis/her index finger in the air, among others not explicitly listedherein.

The gesture component 148 may detect signals from the one or moresensors 160 to identify an individual action performed by the user 102.The gesture component 148 may then transmit the individual action viathe wireless personal area network technology 182 to the smart device108 to modify the parameter of the smart device 108. As a firstillustrative example, the gesture component 148 may detect signals fromthe one or more sensors 160 to identify the individual action performedby the user 102 (e.g., the non-touch gesture of the user 102 bendinghis/her index finger while wearing the wearable device 104) and maytransmit the individual action via the wireless personal area networktechnology 182 to the smart device 108 to modify the parameter of thesmart device 108 (e.g., decrease the volume associated with the smarttelevision). In a second illustrative example, the gesture component 148may detect signals from the one or more sensors 160 to identify theindividual action performed by the user 102 (e.g., the touch gesture ofthe user 102 sliding his/her index finger upwards on the surface of thesmart device 108, e.g., a tablet) and may transmit the individual actionvia the wireless personal area network technology 182 to the smartdevice 108 to modify the parameter of the smart device 108 (e.g.,increase the volume associated with the smart television). It should beappreciated that these examples are provided for illustrative purposesonly and other examples not explicitly described herein arecontemplated.

In additional examples, the individual action performed by the user 102may be a gesture input action. Such gesture input action may includemovement of the finger of the user 102, the hand of the user 102, and/orthe arm of the user 102. A non-exhaustive list of gesture input actionsincludes: a clockwise or a counterclockwise circular gesture inputaction by the finger of the user 102 (e.g., to turn on a light), amovement of the finger of the user 102 in a triangular motion, a stopgesture input action by the hand of the user 102 (e.g., to pause asong), an “X”-shaped gesture input action by the finger of the user 102,a movement of the finger or the hand of the user 102 in an upwardsdirection (e.g., to increase a volume of a song or a brightness of alight), a movement of the finger or the hand of the user 102 in adownward direction (e.g., to decrease the volume of the song or thebrightness of the light), and/or a flick or swipe of the hand of theuser 102 in a leftward direction or a rightward direction (e.g., to moveprogress of a presentation forward or backward), among others.

The gesture input action from the user 102 is bound to the modificationof the parameter of the smart device 108 by means of one or morealgorithmic classifiers 192 (as depicted in FIG. 1B and FIG. 1C). Inexamples, at least one of the one or more algorithmic classifiers 192comprises a machine learning classifier. The array of algorithms areused to process data (e.g., gesture detection data 196, tap detectiondata 194, sensor fusion data that determines orientation 198, etc.) fromonboard motion sensors (e.g., the accelerometers 174 and the gyroscopes190). Data processing is performed using proprietary algorithms, e.g.,to obtain the orientation of the wearable device 104, to detect fingertaps of the user 102 on any surface, and/or to detect energy savingmotions by the user 102, among others. These algorithms may be processedeither on the wearable device 104 via embedded software (see, FIG. 1B)or on the receiving device (e.g., the smart device 108) (see, FIG. 1C).In some examples, software, configured to interact with the wearabledevice 104, may be executable on the smart device 108. The software mayrun on MacOSX, Windows 10, and Linux. Further, a communication layer maybe associated with the software.

Furthermore, motion sensor data from the one or more sensors 160 can beprocessed using machine learning to perform real-time gesture detection.In particular, the motion sensor data from the one or more sensors 160can be processed using time-series classification to perform thereal-time gesture detection. These gestures while wearing the wearabledevice 104 can be bound to certain actions (e.g., to modify the one ormore parameters) on the smart device 108.

As described herein, “machine learning” is a subset of artificialintelligence and is the study of computer algorithms that improveautomatically through experience. Machine learning algorithms build amathematical model based on sample data (or “training data”) in order tomake predictions or decisions, without being explicitly programmed to doso.

As defined herein, a “time series data set” is a data set whichrepresents some measurements of a quantity over a time period. Thebehavior of the series heavily depends on the order of the points. Timeseries analysis includes developing statistical models to providereasonable explanations regarding sample data. These models can bedeveloped using various machine learning technologies.

As defined herein, “time series classification” deals with classifyingdata points over a time period based on its' behavior. Time seriesclassification is a problem in the field of data mining. See, Q. Yang,et al., “10 Challenging Problems in Data Mining Research,” Inf TechnolDecis Mak, 2006, 5(4), Pages 597-604, the contents of which are herebyincorporated by reference in its entirety. With the increase of temporaldata availability, numerous time series classification algorithms havebeen proposed. See, D F Silva, et al., “Speeding Up Similarity SearchUnder Dynamic Time Warping By Pruning Unpromising Alignments,” 2018,Data Min Knowl Discov, 32(4), Pages 988-1016, the contents of which arehereby incorporated by reference in its entirety.

Due to their natural temporal ordering, time series data are present inalmost every task that requires some sort of human cognitive process.See, M. Längkvist, et al., “A Review of Unsupervised Feature Learningand Deep Learning For Time-Series Modeling,” Pattern Recognit Lett,2014,42, Pages 11-24, the contents of which are hereby incorporated byreference in its entirety. Any classification problem using data that isregistered taking into account some notion of ordering can be cast as atime series classification problem. Time series are encountered in manyreal-world applications, such as human activity recognition, acousticscene classification, cyber-security, and electronic health records.See, H. F. Nweke, et al., “Deep Learning Algorithms for Human ActivityRecognition Using Mobile and Wearable Sensor Networks: State of the ArtAnd Research Challenges,” Expert Syst Appl, 2018, 105, Pages 233-261,the contents of which are hereby incorporated by reference in itsentirety. Human activity recognition systems are developed as part of aframework to enable continuous monitoring of human behaviors. Theextraction of relevant features is the most challenging part of themobile and wearable sensor-based human activity recognition pipeline.See, H. F. Nweke, et al.

Solutions to the problem of time series classification include use of anearest neighbor (NN) classifier coupled with a distance function,Dynamic Time Warping (DTW) distance when used with a NN classifier, deepneural networks, pattern extraction, and weighted dynamic time warping,among others. See, A. Bagnall, et al., “The great time seriesclassification bake off: a review and experimental evaluation of recentalgorithmic advances,” Data Min Knowl Discov, 2017, 31(3), Pages606-660; J. Lines, et al., “Time series classification with ensembles ofelastic distance measures,” Data Min Knowl Discov, 2015, 29(3), Pages565-592; Hassan Ismail Fawaz, et al., “Deep Learning for Time SeriesClassification: a Review,” Data Mining and Knowledge Discovery, 2019,33, Pages 917-963; Pierre Geurts, “Pattern Extraction for Time SeriesClassification,” European Conference on Principles of Data Mining andKnowledge Discovery, 2011, Pages 115-127; Young-Seon Jeong, et al.,“Weighted Dynamic Time Warping for Time Series Classification,” PatternRecognition, 2011, 44(9), Pages 2231-2240, the contents of which arehereby incorporated by reference in their entirety.

It should further be appreciated that, in response to receiving theinput from the user or in response to recognizing the gesture input bythe one or more algorithmic classifiers 192, a haptic response isprovided by the wearable device 104 to the user 102. As describedherein, “haptic feedback” refers to any technology that can create anexperience of touch by applying forces, vibrations, or motions to theuser 102. As defined herein, “haptic feedback” refers to the use oftouch to communicate with the user 102. As such, the wearable device 104comprises one or more tactical sensors that measure forces exerted bythe user 102 on the interface. Examples of haptic feedback include thevibration of a mobile device or a rumble from a game controller. Itshould be appreciated that the examples of haptic feedback providedherein are for illustrative purposes only and are not exhaustive.

In additional examples, the sensing component 158 may include thebiometric sensors 176. As described herein, each of the biometricsensors 176 refers to a suitable device that can sense a biometricfeature of the user 102 while the user 102 is wearing the wearabledevice 104. In one embodiment, a sensor of the biometric sensors 176takes the form of a fingerprint sensor that is configured to sense afingerprint (e.g., when the wearable device 194 is placed over thefinger, such as the index finger, of the user 102). Examples of otherbiometric features that can be sensed by the biometric sensors 176instead of or in addition to a fingerprint include, but are not limitedto, a finger vein, an oxygen saturation level, a pulse, a quantity ofcalories burned, and a heartbeat pattern. Of course, these are merelyexamples, and other types of the biometric sensors 176 can be used tosense other types of biometric features.

The biometric sensors 176 may assist the sensing component 158 indetecting pressure imparted by the body part of the user 102 while theuser 102 is wearing the wearable device 104. The sensing component 158may measure one or more parameters (e.g., biometric parameters) of theuser 102 and may transmit the one or more biometric parameters via thewireless personal area network technology 182 to the smart device 108.As an illustrative example, the biometric sensors 176 may assist thesensing component 158 in detecting the pressure imparted by the bodypart of the user 102 (e.g., the index finger of the user 102) while theuser 102 is wearing the wearable device 104 (e.g., the ring), measuringthe one or more biometric parameters (e.g., a quantity of caloriesburned during a time period and a pulse of the user 102), andtransmitting the one or more biometric parameters of the quantity ofcalories burned during the time period and the pulse of the user 102 viathe wireless personal area network technology 182 to an applicationexecuted on the smart device 108 (e.g., the smartphone). The applicationexecuted on the smartphone may receive the one or more biometricparameters and may store these biometric parameters. The applicationexecuted on the smartphone may also utilize the received one or morebiometric parameters for further analysis or other purposes.

It should be appreciated that the one or more sensors 160 describedherein are part of a printed circuit board 180 located in the interiorof the wearable device 104. In this embodiment, the printed circuitboard 180 comprises a controller, non-volatile memory, a wireless chip,an antenna 188, user interface element(s), and the rechargeable battery114, which are all operatively in communication with one another. The“operatively in communication with” could mean directly in communicationwith or indirectly (wired or wireless) in communication with through oneor more components, which may or may not be shown or described herein.It should be noted that these components are merely examples and feweror more components can be used.

In general, the non-volatile memory is configured to store informationfrom an authorized user, such as detected user actions, detected orsensed biometric parameters, etc. The non-volatile memory can includeany suitable non-volatile storage medium, including NAND flash memorycells and/or NOR flash memory cells. The memory cells can take the formof solid-state (e.g., flash) memory cells and can be one-timeprogrammable, few-time programmable, or many-time programmable. Thememory cells can also be single-level cells (SLC), multiple-level cells(MLC), triple-level cells (TLC), or use other memory cell leveltechnologies, now known or later developed. Also, the memory cells canbe fabricated in a two-dimensional or three-dimensional fashion.

In some examples, the one or more sensors 160 may detect the inputaction performed by the user 102, the gesture action performed by theuser 102, and/or the biometric parameters of the user 102 and maydetermine whether the actions or the biometric features detected matchactions or biometric features stored in the memory. If there is a match,the controller is configured to enable a function of the wearable device104. The controller can take the form of processing circuitry, amicroprocessor or processor, and a computer-readable medium that storescomputer-readable program code (e.g., firmware) executable by the(micro)processor, logic gates, switches, an application specificintegrated circuit (ASIC), a programmable logic controller, and anembedded microcontroller, for example. The controller can be configuredwith hardware and/or firmware to perform the various functions describedherein.

As used herein, a “function” of the wearable device 104 can take anysuitable form. For example, in some embodiments, the wearable device 104can have one or more of the following functions: accessing user datastored in a memory of the wearable device 104, opening a door, making apayment, authenticating a secure application in the smart device 108 incommunication with the wearable device 104, and controlling anapplication in or receiving an alert from the smart device 108 incommunication with the wearable device 104. In another embodiment, thefunction is turning the wearable device 104 on or waking the wearabledevice 104 up from a sleep mode (where some other functions of thewearable device 104 (e.g., a displayed clock) can still be enabled eventhough others are not). In one embodiment, the function of the wearabledevice 104 is performed using the wireless chip and/or the antenna 188(together referred to as a wireless transceiver (e.g., for near fieldcommunications (NFC)) to send and receive communications with thewearable device 104. The user interface element(s) can be related orunrelated to the function. For example, in one embodiment, the userinterface element is a display device that displays the current timeirrespective of whether an authorized user is wearing the wearabledevice 104. In examples, the display device is a visual display. Asanother example, the user interface element can be a buzzer/vibrator,LED light, an OLED light, an LCD light, etc. that provides an authorizeduser with an alert from a paired smart device 108. Since the wearabledevice 104 enables a function only if the action detected, the gesturedetected, or the biometric feature sensed by the one or more sensors 160matches the biometric feature or the actions stored in the memory, thisensures that functions of the wearable device 104 can be enabled onlyfor its true owner.

The wearable device 104 may store a plurality of actions and/orbiometric features of the user 102, where each action or each biometricfeature is associated with a different function of the wearable device104. For example, fingerprints of two or more of the user's fingers canbe stored in the wearable device 104 and associated with differentfunctions. That way, a different function can be enabled depending onwhich finger the user 102 puts the wearable device on. As anotheralternative, three-dimensional functions can be enabled/disabled basedon the direction of movement of the wearable device 104 as sensed bymovement across finger segments.

Also, any suitable type of memory can be used. Semiconductor memorydevices include volatile memory devices, such as dynamic random accessmemory (“DRAM”) or static random access memory (“SRAM”) devices,non-volatile memory devices, such as resistive random access memory(“ReRAM”), electrically erasable programmable read only memory(“EEPROM”), flash memory (which can also be considered a subset ofEEPROM), ferroelectric random access memory (“FRAM”), andmagnetoresistive random access memory (“MRAM”), and other semiconductorelements capable of storing information. Each type of memory device mayhave different configurations. For example, flash memory devices may beconfigured in a NAND or a NOR configuration.

The memory devices can be formed from passive and/or active elements, inany combinations. By way of non-limiting example, passive semiconductormemory elements include ReRAM device elements, which in some embodimentsinclude a resistivity switching storage element, such as an anti-fuse,phase change material, etc., and optionally a steering element, such asa diode, etc. Further by way of non-limiting example, activesemiconductor memory elements include EEPROM and flash memory deviceelements, which in some embodiments include elements containing a chargestorage region, such as a floating gate, conductive nanoparticles, or acharge storage dielectric material.

Multiple memory elements may be configured so that they are connected inseries or so that each element is individually accessible. By way ofnon-limiting example, flash memory devices in a NAND configuration (NANDmemory) typically contain memory elements connected in series. A NANDmemory array may be configured so that the array is composed of multiplestrings of memory in which a string is composed of multiple memoryelements sharing a single bit line and accessed as a group.Alternatively, memory elements may be configured so that each element isindividually accessible, e.g., a NOR memory array. NAND and NOR memoryconfigurations are exemplary, and memory elements may be otherwiseconfigured.

The semiconductor memory elements located within and/or over a substratemay be arranged in two or three dimensions, such as a two dimensionalmemory structure or a three dimensional memory structure. In a twodimensional memory structure, the semiconductor memory elements arearranged in a single plane or a single memory device level. Typically,in a two dimensional memory structure, memory elements are arranged in aplane (e.g., in an x-z direction plane) which extends substantiallyparallel to a major surface of a substrate that supports the memoryelements. The substrate may be a wafer over or in which the layer of thememory elements are formed or it may be a carrier substrate which isattached to the memory elements after they are formed. The substrate mayinclude a semiconductor.

The memory elements may be arranged in the single memory device level inan ordered array, such as in a plurality of rows and/or columns.However, the memory elements may be arrayed in non-regular ornon-orthogonal configurations. The memory elements may each have two ormore electrodes or contact lines, such as bit lines and word lines.

A three dimensional memory array is arranged so that memory elementsoccupy multiple planes or multiple memory device levels, thereby forminga structure in three dimensions (e.g., in the x, y and z directions,where the y direction is substantially perpendicular and the x and zdirections are substantially parallel to the major surface of thesubstrate). As a non-limiting example, a three dimensional memorystructure may be vertically arranged as a stack of multiple twodimensional memory device levels. As another non-limiting example, athree dimensional memory array may be arranged as multiple verticalcolumns (e.g., columns extending substantially perpendicular to themajor surface of the substrate, i.e., in the y direction) with eachcolumn having multiple memory elements in each column. The columns maybe arranged in a two dimensional configuration, e.g., in an x-z plane,resulting in a three dimensional arrangement of memory elements withelements on multiple vertically stacked memory planes. Otherconfigurations of memory elements in three dimensions can alsoconstitute a three dimensional memory array.

In a three dimensional NAND memory array, the memory elements may becoupled together to form a NAND string within a single horizontal (e.g.,x-z) memory device levels. Alternatively, the memory elements may becoupled together to form a vertical NAND string that traverses acrossmultiple horizontal memory device levels. Other three dimensionalconfigurations can be envisioned wherein some NAND strings containmemory elements in a single memory level while other strings containmemory elements which span through multiple memory levels. Threedimensional memory arrays may also be designed in a NOR configurationand in a ReRAM configuration.

Typically, in a monolithic three dimensional memory array, one or morememory device levels are formed above a single substrate. Optionally,the monolithic three dimensional memory array may also have one or morememory layers at least partially within the single substrate. As anexample, the substrate may include a semiconductor. In a monolithicthree dimensional array, the layers constituting each memory devicelevel of the array are typically formed on the layers of the underlyingmemory device levels of the array. However, layers of adjacent memorydevice levels of a monolithic three dimensional memory array may beshared or have intervening layers between memory device levels.

Two dimensional arrays may be formed separately and then packagedtogether to form a non-monolithic memory device having multiple layersof memory. For example, non-monolithic stacked memories can beconstructed by forming memory levels on separate substrates and thenstacking the memory levels atop each other. The substrates may bethinned or removed from the memory device levels before stacking, but asthe memory device levels are initially formed over separate substrates,the resulting memory arrays are not monolithic three dimensional memoryarrays. Further, multiple two dimensional memory arrays or threedimensional memory arrays (monolithic or non-monolithic) may be formedon separate chips and then packaged together to form a stacked-chipmemory device.

Associated circuitry is typically required for operation of the memoryelements and for communication with the memory elements. Memory devicesmay have circuitry used for controlling and driving memory elements toaccomplish functions, such as programming and reading. This associatedcircuitry may be on the same substrate as the memory elements and/or ona separate substrate. For example, a controller for memory read-writeoperations may be located on a separate controller chip and/or on thesame substrate as the memory elements.

In a preferred embodiment and as depicted in at least FIG. 13, theelectronics of the wearable device 104 may be assembled on the printedcircuit board 180 located in the interior of the wearable device 104 andconsisting of baseband hardware and radio frequency electronic circuits.The main control unit of the wearable device 104 is a semiconductor thatprovides computing, storage, and Bluetooth Low Energy radio services.The printed circuit board 180 includes a Bluetooth LE SoC chip, abattery protection chip, a motion tracking chip, a micro USB connectorfor charging purposes, an LED driver chip, and a battery charger chip.

The components of the wearable device 104, as depicted in FIG. 13, mayalso include: an antenna 188, the personal area network technology 182,a motion tracking device 184, a semi-conductor light source displaydriver 186 (e.g., an LED display driver), a semi-conductor light source152, the battery 114, the battery support/protection component 122, anda power management component 154. The antenna 188 is integrated into theprinted circuit board 180. In examples, the antenna 188 is a printedwiring board (PWB) strip line (IFA) antenna 188 with a maximum gain of−5.4 dBi and is implemented in two layers in the printed circuit board180. The motion tracking device 184 is a 9-Axis Micro-Electro-MechanicalSystems (MEMS). The semi-conductor light source 152 comprises whiteLED's. In some examples, the semi-conductor light source 152 is an LEDmatrix display.

Aspects of the present invention are described herein with reference toblock diagrams of methods, systems, and computing devices according toembodiments of the invention. It will be understood that each block andcombinations of blocks in the diagrams, can be implemented by thecomputer readable program instructions.

The block diagrams in the Figures illustrate the architecture,functionality, and operation of possible implementations of computersystems, methods, and computing devices according to various embodimentsof the present invention. In this regard, each block in the blockdiagrams may represent a module, a segment, or a portion of executableinstructions for implementing the specified logical function(s). In somealternative implementations, the functions noted in the blocks may occurout of the order noted in the Figures. For example, two blocks shown insuccession may, in fact, be executed substantially concurrently, or theblocks may sometimes be executed in the reverse order, depending uponthe functionality involved. It will also be noted that each block andcombinations of blocks can be implemented by special purposehardware-based systems that perform the specified functions or acts orcarry out combinations of special purpose hardware and computerinstructions.

The descriptions of the various embodiments of the present inventionhave been presented for purposes of illustration, but are not intendedto be exhaustive or limited to the embodiments disclosed. Manymodifications and variations will be apparent to those of ordinary skillin the art without departing from the scope and spirit of the describedembodiments. The terminology used herein was chosen to best explain theprinciples of the embodiments, the practical application or technicalimprovement over technologies found in the marketplace, or to enableothers or ordinary skill in the art to understand the embodimentsdisclosed herein.

Although this invention has been described with a certain degree ofparticularity, it is to be understood that the present disclosure hasbeen made only by way of illustration and that numerous changes in thedetails of construction and arrangement of parts may be resorted towithout departing from the spirit and the scope of the invention.

1. A wearable device comprising: a strap affixed to a body portion toform an opening, the opening being configured to receive a body part ofa user therein; the body portion comprising: a cover; and a receiverportion located on the cover and configured to receive an input from theuser to modify a parameter of a smart device; and a control componentconfigured to: receive, from the receiver portion, the input from theuser; identify the input from the user as a gesture input, wherein thegesture input is bound to the modification of the parameter of the smartdevice by means of an algorithmic classifier; in response to recognizingthe gesture input by the algorithmic classifier, provide a hapticresponse to the gesture input; and transmit the input via a wirelesspersonal area network technology to the smart device to modify theparameter of the smart device.
 2. The wearable device of claim 1,wherein the wearable device is selected from the group consisting of: awatch, a bracelet, a wristband, an ankle band, a ring, and a necklace.3. The wearable device of claim 2, wherein the wearable device is thering, and wherein the body part of the user is a finger of the user. 4.The wearable device of claim 1, wherein the smart device is selectedfrom the group consisting of: a smart light, a smart television, asmartphone, a smart thermostat, a smart doorbell, a smart lock, a smartrefrigerator, smart glasses, a smart watch, and a smart speaker.
 5. Thewearable device of claim 1, wherein the wireless personal area networktechnology is Bluetooth Low Energy.
 6. The wearable device of claim 1,wherein the body portion further comprises a light-emitting diode (LED)display.
 7. The wearable device of claim 1, wherein the parameter isselected from the group consisting of: an on position, an off position,a pause position, a play position, a channel, a volume, a color, a song,a movie, a brightness, a locked status, an unlocked status, atemperature, presented content, a phone call, a message, a notification,two-dimensional content, and three-dimensional content.
 8. The wearabledevice of claim 1, further comprising: a battery; and a charging portfor charging the wearable device.
 9. (canceled)
 10. The wearable deviceof claim 1, wherein the algorithmic classifier comprises a machinelearning classifier.
 11. (canceled)
 12. A wearable device comprising: anadjustable strap affixed to a body portion to form an opening, theopening being configured to receive a body part of a user therein; thebody portion comprising a cover; a gesture component; at least onepressure sensor configured to assist the gesture component, wherein theat least one pressure sensor comprises an array of pressure sensorsradially distributed around an interior surface of the body portion; andthe gesture component being configured to: detect pressure imparted bythe body part of the user during performance of an action by the bodypart of the user; measure one or more biometric parameters of the user,wherein the one or more biometric parameters comprise at least an oxygensaturation level, a body temperature, a quantity of calories burned, anda pulse; and transmit the one or more biometric parameters via awireless personal area network technology to a smart device.
 13. Thewearable device of claim 12, further comprising: a battery; alight-emitting diode (LED) display; and a charging port for charging thewearable device.
 14. The wearable device of claim 12, wherein each ofthe at least one pressure sensor comprises a force sensitive resistor ora piezoelectric sensor.
 15. The wearable device of claim 12, furthercomprising: one or more motion detecting sensors configured to assistthe gesture component, wherein each of the one or more motion detectingsensors comprises an audio sensor or an accelerometer.
 16. The wearabledevice of claim 12, wherein the wearable device is the ring, wherein thebody part of the user is a finger of the user, and wherein the wirelesspersonal area network technology is Bluetooth Low Energy.
 17. A wearabledevice comprising: an adjustable strap affixed to a body portion to forman opening, the opening being configured to receive a body part of auser therein; the body portion comprising: a cover; a battery; alight-emitting diode (LED) display; a receiver portion located on thecover and configured to receive an input from the user to modify aparameter of a smart device; and a charging port for charging thewearable device; a gesture component; at least one pressure sensorconfigured to assist the gesture component, wherein the at least onepressure sensor comprises an array of pressure sensors radiallydistributed around an interior surface of the body portion; the gesturecomponent being configured to: detect pressure imparted by the body partof the user during performance of an action by the body part of theuser; measure one or more biometric parameters of the user; and transmitthe one or more biometric parameters via a wireless personal areanetwork technology to a smart device; and a control component configuredto: receive, from the receiver portion, the input from the user;identify the input from the user as a gesture input, wherein the gestureinput is bound to the modification of the parameter of the smart deviceby means of an algorithmic classifier; in response to recognizing thegesture input by the algorithmic classifier, provide a haptic responseto the gesture input; and transmit the input via a wireless personalarea network technology to the smart device to modify the parameter ofthe smart device.
 18. The wearable device of claim 17, furthercomprising: one or more motion detecting sensors configured to assistthe gesture component, wherein each of the one or more motion detectingsensors comprises an audio sensor or an accelerometer.
 19. The wearabledevice of claim 17, wherein each of the at least one pressure sensorcomprises a force sensitive resistor or a piezoelectric sensor.
 20. Thewearable device of claim 17, wherein the wearable device is the ring,wherein the body part of the user is an index finger of the user, andwherein the wireless personal area network technology is Bluetooth LowEnergy.